Chevron Left
Zurück zu Diabetic Retinopathy Detection with Artificial Intelligence

Bewertung und Feedback des Lernenden für Diabetic Retinopathy Detection with Artificial Intelligence von Coursera Project Network

34 Bewertungen

Über den Kurs

In this project, we will train deep neural network model based on Convolutional Neural Networks (CNNs) and Residual Blocks to detect the type of Diabetic Retinopathy from images. Diabetic Retinopathy is the leading cause of blindness in the working-age population of the developed world and estimated to affect over 347 million people worldwide. Diabetic Retinopathy is disease that results from complication of type 1 & 2 diabetes and can develop if blood sugar levels are left uncontrolled for a prolonged period of time. With the power of Artificial Intelligence and Deep Learning, doctors will be able to detect blindness before it occurs....



12. Sep. 2021

The course is very nicely explained. I would recommend this project for those who have some prior experience in Python and CNN to try out this exciting real world project.


25. März 2021

Well Instructed Project. Step by step explanation and analysis of every problem is simply excellent. Highly recommended project.

Filtern nach:

1 - 10 von 10 Bewertungen für Diabetic Retinopathy Detection with Artificial Intelligence

von Pavan k

26. März 2021

von Hualai T

29. März 2021

von Paul M

14. März 2022


8. Apr. 2021

von Pranjali A

21. Dez. 2020

von Megan D

21. Dez. 2021

von Asutosh B

13. Sep. 2021

von Reem A

13. Juli 2021

von Edward N

9. Sep. 2021

von Karthik K

14. Sep. 2022